课程: Creating Advanced AI Applications with Python, APIs, and GitHub Models

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Working with LangSmith

Working with LangSmith

课程: Creating Advanced AI Applications with Python, APIs, and GitHub Models

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Working with LangSmith

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- [Instructor] Now that you've deployed the app to production, you'll want to monitor and manage it. There are a couple of tools like LangSmith from LangChain and Phoenix from Arise AI that can do this for you. Now, we'll use LangSmith as our tracing tool for this course because I've tried Phoenix before and I want to try something new. Now, LangSmith is a standalone tool, so you can use it whether or not you're using LangChain. So let's head over to LangSmith. I'm going to go to langsmith.com, and let's head over to Settings. And obviously you'll need to sign up for an account if you don't have one. And let me go ahead and create an API key. I'm going to call this moneychanger. And then I'm going to go ahead and create my API key. So I'm going to want to copy this, head over to my environment variables and save this under LangChain API key. And then I'm going to head back to my Streamlit app, select the triple dots, and then select Settings, head over to Secrets, and then I want to…

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